OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Intelligent fault diagnosis of rolling bearings based on the visibility algorithm and graph neural networks
Shaohui Ning, Yonglei Ren, Yukun Wu
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 2
Closed Access | Times Cited: 13

Showing 13 citing articles:

AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions
Deqiang He, Jinxin Wu, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110907-110907
Closed Access | Times Cited: 1

A review: multiplicative faults and model-based condition monitoring strategies for fault diagnosis in rotary machines
Prabhat Kumar, Rajiv Tiwari
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 5
Closed Access | Times Cited: 23

Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault Diagnosis of Rotating Machinery
Haitao Wang, Xiyang Dai, Lichen Shi, et al.
IEEE Access (2024) Vol. 12, pp. 34785-34799
Open Access | Times Cited: 5

Hypergraph construction using Multi-Sensor for helicopter Tail-Drive system fault diagnosis
Aijun Yin, Zhaoyi Sun, Junlin Zhou
Measurement (2024) Vol. 231, pp. 114586-114586
Closed Access | Times Cited: 5

A hybrid graph neural network-based federated learning method for personalized manufacturing service composition recommendation
Lei Wang, T.Q. Li, Yang Xu, et al.
International Journal of Computer Integrated Manufacturing (2025), pp. 1-23
Closed Access

A new health indicator extracted by unsupervised learning using autoencoder in tandem with t-sne and multi-kernel CNN to enhance the early detection and classification of bearings multi-faults
Mohamed Zair, Chemseddine Rahmoune, Moussaoui Imane, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 7
Closed Access | Times Cited: 5

Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis
Tongtong Yan, Dong Wang, Yu Wang
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-13
Closed Access | Times Cited: 3

Intelligent Fault Diagnosis of Bearings in Unsupervised Dynamic Domain Adaptation Networks Under Variable Conditions
Qianqian Zhang, Zhongwei Lv, Caiyun Hao, et al.
IEEE Access (2024) Vol. 12, pp. 82911-82925
Open Access

Fault Diagnosis of Rotating Equipment Unbalance Problem Based on Denoising Stacked Autoencoders
Peijian Zeng, Nankai Lin, Jianghao Lin, et al.
Lecture notes in computer science (2024), pp. 54-65
Closed Access

Coupling Fault Diagnosis of Bearings Based on Hypergraph Neural Network
Shenglong Wang, Xiaoxuan Jiao, Bo Jing, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6391-6391
Open Access

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